5 results for Yee, Thomas, Dataset

VGAM 1.03
Yee, Thomas (20170110)
Dataset
The University of Auckland LibraryAn implementation of about 6 major classes of statistical regression models. At the heart of it are the vector generalized linear and additive model (VGLM/VGAM) classes, and the book "Vector Generalized Linear and Additive Models: With an Implementation in R" (Yee, 2015) gives details of the statistical framework and VGAM package. Currently only fixedeffects models are implemented, i.e., no randomeffects models. Many (150+) models and distributions are estimated by maximum likelihood estimation (MLE) or penalized MLE, using Fisher scoring. VGLMs can be loosely thought of as multivariate GLMs. VGAMs are datadriven VGLMs (i.e., with smoothing). The other classes are RRVGLMs (reducedrank VGLMs), quadratic RRVGLMs, reducedrank VGAMs, RCIMs (rowcolumn interaction models)—these classes perform constrained and unconstrained quadratic ordination (CQO/UQO) models in ecology, as well as constrained additive ordination (CAO).
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VGAMdata 1.02
Yee, Thomas; Gray, J (20160531)
Dataset
The University of Auckland LibraryAn implementation of about 6 major classes of statistical regression models. At the heart of it are the vector generalized linear and additive model (VGLM/VGAM) classes, and the book "Vector Generalized Linear and Additive Models: With an Implementation in R" (Yee, 2015) gives details of the statistical framework and VGAM package. Currently only fixedeffects models are implemented, i.e., no randomeffects models. Many (150+) models and distributions are estimated by maximum likelihood estimation (MLE) or penalized MLE, using Fisher scoring. VGLMs can be loosely thought of as multivariate GLMs. VGAMs are datadriven VGLMs (i.e., with smoothing). The other classes are RRVGLMs (reducedrank VGLMs), quadratic RRVGLMs, reducedrank VGAMs, RCIMs (rowcolumn interaction models)—these classes perform constrained and unconstrained quadratic ordination (CQO/UQO) models in ecology, as well as constrained additive ordination (CAO).
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VGAM 1.01
Yee, Thomas (20160315)
Dataset
The University of Auckland LibraryAn implementation of about 6 major classes of statistical regression models. At the heart of it are the vector generalized linear and additive model (VGLM/VGAM) classes, and the book "Vector Generalized Linear and Additive Models: With an Implementation in R" (Yee, 2015) gives details of the statistical framework and VGAM package. Currently only fixedeffects models are implemented, i.e., no randomeffects models. Many (150+) models and distributions are estimated by maximum likelihood estimation (MLE) or penalized MLE, using Fisher scoring. VGLMs can be loosely thought of as multivariate GLMs. VGAMs are datadriven VGLMs (i.e., with smoothing). The other classes are RRVGLMs (reducedrank VGLMs), quadratic RRVGLMs, reducedrank VGAMs, RCIMs (rowcolumn interaction models)—these classes perform constrained and unconstrained quadratic ordination (CQO/UQO) models in ecology, as well as constrained additive ordination (CAO).
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VGAMdata 1.03
Yee, Thomas; Gray, J (20170111)
Dataset
The University of Auckland LibraryAn implementation of about 6 major classes of statistical regression models. At the heart of it are the vector generalized linear and additive model (VGLM/VGAM) classes, and the book "Vector Generalized Linear and Additive Models: With an Implementation in R" (Yee, 2015) gives details of the statistical framework and VGAM package. Currently only fixedeffects models are implemented, i.e., no randomeffects models. Many (150+) models and distributions are estimated by maximum likelihood estimation (MLE) or penalized MLE, using Fisher scoring. VGLMs can be loosely thought of as multivariate GLMs. VGAMs are datadriven VGLMs (i.e., with smoothing). The other classes are RRVGLMs (reducedrank VGLMs), quadratic RRVGLMs, reducedrank VGAMs, RCIMs (rowcolumn interaction models)—these classes perform constrained and unconstrained quadratic ordination (CQO/UQO) models in ecology, as well as constrained additive ordination (CAO).
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VGAM 1.02
Yee, Thomas (20160527)
Dataset
The University of Auckland LibraryAn implementation of about 6 major classes of statistical regression models. At the heart of it are the vector generalized linear and additive model (VGLM/VGAM) classes, and the book "Vector Generalized Linear and Additive Models: With an Implementation in R" (Yee, 2015) gives details of the statistical framework and VGAM package. Currently only fixedeffects models are implemented, i.e., no randomeffects models. Many (150+) models and distributions are estimated by maximum likelihood estimation (MLE) or penalized MLE, using Fisher scoring. VGLMs can be loosely thought of as multivariate GLMs. VGAMs are datadriven VGLMs (i.e., with smoothing). The other classes are RRVGLMs (reducedrank VGLMs), quadratic RRVGLMs, reducedrank VGAMs, RCIMs (rowcolumn interaction models)—these classes perform constrained and unconstrained quadratic ordination (CQO/UQO) models in ecology, as well as constrained additive ordination (CAO).
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